1,721,036 research outputs found

    Un'indagine campionaria sugli studenti inattivi: il caso dell'Università di Pisa

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    In questo lavoro si vuole soffermare l’attenzione sugli studenti inattivi, cioè gli studenti universitari che nella loro carriera hanno trascorso almeno un anno senza acquisire crediti formativi (o senza superare esami). L’interesse per questo argomento si spiega non solo per gli evidenti effetti negativi che la condizione di inattivo crea sugli studenti e sulle loro famiglie ma anche per gli oneri sul sistema universitario. I dati sono stati raccolti con un’indagine campionaria su un campione casuale stratificato di 1945 studenti iscritti all’Università di Pisa nell’anno accademico 2010-’11. L’analisi è stata effettuata con un modello di regressione logistica a due livelli, rispettivamente per i corsi di laurea di primo e di secondo livello

    A two-level Structural Equation Model for evaluating the external effectiveness of PhD

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    In recent years the number of PhDs in Italy has significantly grown and purposes of PhD courses have expanded from the traditional ones. The analysis of the contribution of PhD title for job placement and employment condition of PhDs is an important tool for evaluating the quality and the effectiveness of PhD courses. For this reason, knowledge of the employment status and career of PhDs becomes essential and can help to reduce the gap between academia and labour market. The aim of this paper is to estimate a two-level structural equation model with latent variables to assess the external effectiveness of PhD. The analysis is performed using data from the research "Current situation and employment prospects of PhDs", commissioned by National Committee for the Evaluation of the University System (CNVSU) to the Department of Statistics "G. Parenti" of the University of Florence. The proposed measure of "external effectiveness" is a latent variable obtained by evaluating the level of satisfaction with the employment status of PhDs who achieved the title in 2008. The opinion was expressed one year after obtaining PhD on a ten ordered point scale. External effectiveness indicators used are Consistency with studies, Utilization of the acquired skills and Compliance with the cultural interests

    Small area models for analysing job placement survey data of the STELLA consortium

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    Job placement is a very important issue in nowadays governance of universities and data on career of graduates in the labour market are crucial also for evaluating the performance of the courses of study. The University of Pisa is member of the STELLA consortium whose aim is to perform periodic sample and census surveys for investigating and monitoring the career of graduates on the labor market. In this paper the level of satisfaction for the coherence of the employment condition with the studies of graduates one year after the degree is analysed. Small Area Models (SAE) are used to obtain more accurate estimates for the unplanned domains defined by the course of study. Focus is on the Economics and Statistics master's of science or single-cycle degree courses of the University of Brescia and Pisa

    Internal effectiveness of educational offer and students’ satisfaction: a SEM approach

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    The aim of this paper is to explain the relationship between university students’ satisfaction with their study experience career and the perception of a poor effectiveness of the organizational aspects of the teaching activities. This relationship can be modelled with a structural equation approach. The analysis is performed using a data set collected by a CATI survey on students enrolled at the University of Pisa in the academic year 2010-‘11

    A finite mixture regression model for evaluating University admission test and students’ careers

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    The evaluation of the initial preparation of students wishing to enroll in a degree program is an important issue since students are required to take an admission test before enrolling in a degree program. In this paper we aim at investigating the effect of the University admission test on the students’ careers at the end of the first academic year, also detecting, if they exist, unobserved but meaningful subgroups of students with similar progression in their university careers. The analysis is referred to the participants to the admission test carried out in September 2011 at the Department of Economics and Management, University of Pisa. Data were analysed using a finite mixture regerssion model in order to investigate population heterogeneity

    Environmental performance of waste management: Impacts of corruption and public maladministration in Italy

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    This study analyzes the association between the environmental performance of waste management and occurrences of corruption and maladministration. Italy is considered one of the most corrupt Western European countries; its high corruption levels have been highlighted for decades. In Italy, waste management has frequently garnered interest during crises and emergencies, owing to problems faced in terms of waste collection, transport, and treatment. The existence of a relationship between corruption and urban solid waste management, which is one of the most relevant services of general interest, needs investigation. The study aims to investigate the potential impact of corruption and public maladministration on Italy’s waste management environmental performance. Sixty-six Italian provinces for which relevant data were available over a 3-year period (2015–2017) were studied, and propensity score matching under the potential outcomes framework of causality was applied. Official data on the number of convictions for crimes committed against the public administration were used. The results demonstrated that provinces with higher levels of corruption and maladministration also had higher production of urban waste per capita, requiring further management and treatment; thus, more opportunities exist to commit crimes while pursuing private interests at the expense of public administrations and citizens. No relevant differences were found with reference to separate-waste collection rates and landfill use

    Italian PhD programme system: Evaluating external effectiveness by structural equation models

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    The analysis of the contribution of the PhD title to the PhDs employment condition is an important tool for evaluating the quality and the effectiveness of PhD programmes. For this reason, monitoring PhDs careers becomes fundamental for explaining the mismatch between third level education and labour market2. The aim of this paper is to assess the external effectiveness of PhD programmes using a Structural Equation Model. The analysis is performed with data from a survey on "Current situation and employment prospects of PhDs”. The proposed measure of "external effectiveness" is a latent variable stemming from satisfaction with the employment status of PhDs who achieved the title in 2008

    Students’ satisfaction and teaching efficiency of university offer

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    This study analyses the factors affecting students’ satisfaction with university experience, focusing on the aspects characterising the teaching efficiency of educational offer. For this purpose, organisation of teaching activities, available information, teaching materials, and other facilities offered to students to make their learning experience more successful, are considered as indicators of teaching efficiency. Our interest in this topic is justified by the importance that students’ satisfaction assumes, not only as indicator of the quality of educational services but also for its relationship with overall life satisfaction and subjective well-being. A structural equation model with latent variables is estimated by using survey and administrative data of the University of Pisa. Main findings seem to show that teaching efficiency has a positive effect on satisfaction and suggest that whenever it is inadequate, or at least, considered as such, students are less satisfied for their university experience. The effects of other factors on students’ satisfaction such as studies organisation, social capital and internship experience are also discussed

    Firm recruitment and public employment services in Italy: how the length of searching affects job matching

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    State employment agencies, referred to as Job Centres (JC), arrange a limited share of overall job matches in the Italian labour market. Since 1997, a progressive reform of public employment service (PES) regulations has restructured JC role as a job matching-oriented function. In this paper we analyse labour demand by considering the job offers registered at the JC. More specifically, we investigate if the time required by the search process arranged by public employment operators influences the probability that the matching process is concluded successfully. We focus on the search duration by the JC, rather than the vacancy duration, to test whether the former plus other characteristics of the vacancy position have effect on a successful job matching process. We use survival analysis to estimate the cumulative incidence when the event of interest is employment, assuming that both employed and unemployed job searchers are engaged in the matching process

    Local Comparisons of Small Area Estimates of Poverty: An Application Within the Tuscany Region in Italy

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    The aim of this paper is to highlight some key issues and challenges in the analysis of poverty at the local level using survey data. In the last years there was a worldwide increase in the demand for poverty and living conditions estimates at the local level, since these quantities can help in planning local policies aimed at decreasing poverty and social exclusion. In many countries various sample surveys on income and living conditions are currently conducted, but their sample size is not enough to obtain reliable estimates at local level. When this happens, small area estimation (SAE) methods can be used. In this paper, a SAE model is used to compute the mean household equivalised income and the head count ratio for the 57 Labor Local Systems of the Tuscany region in Italy for the year 2011. The caveats of the analysis of poverty at the local level using small area methods are many, and some are still not so well explored in the literature, starting from the definition of the target indicators to the relevant dimensions of their measurement. We suggest in this paper that together with the universally recognized multidimensional, longitudinal and local dimensions of poverty, a new dimension must be considered: the price dimension, which should take into account local purchasing power parities to cor- rectly compare the poverty indicators based on income measures
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